Forbidden patterns, permutation entropy and stock market inefficiency
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UCB |
Texto Completo: | http://twingo.ucb.br:8080/jspui/handle/10869/318 https://repositorio.ucb.br:9443/jspui/handle/123456789/7605 |
Resumo: | In this paper we introduce two new quantifiers for the stock market inefficiency: the number of forbidden patterns and the normalized permutation entropy. They are model-independent measures, thus they have more general applicability. We find robust evidence that degree of market inefficiency is positively correlated with the number of forbidden patterns and negatively correlated with the permutation entropy. Our empirical results suggest that these two physical tools are useful to discriminate the stage of stock market development and can be easily implemented. |
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Zunino, LucianoZanin, MassimilianoTabak, Benjamin MirandaPérez, Darío G.Rosso, Osvaldo A.2016-10-10T03:52:03Z2016-10-10T03:52:03Z2009ZUNINO, Luciano. et. al. Forbidden patterns, permutation entropy and stock market inefficiency. Physica A, v.388, n.14, p. 2854-2864, 2009.0378-4371http://twingo.ucb.br:8080/jspui/handle/10869/318https://repositorio.ucb.br:9443/jspui/handle/123456789/7605In this paper we introduce two new quantifiers for the stock market inefficiency: the number of forbidden patterns and the normalized permutation entropy. They are model-independent measures, thus they have more general applicability. We find robust evidence that degree of market inefficiency is positively correlated with the number of forbidden patterns and negatively correlated with the permutation entropy. Our empirical results suggest that these two physical tools are useful to discriminate the stage of stock market development and can be easily implemented.Made available in DSpace on 2016-10-10T03:52:03Z (GMT). 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dc.title.pt_BR.fl_str_mv |
Forbidden patterns, permutation entropy and stock market inefficiency |
title |
Forbidden patterns, permutation entropy and stock market inefficiency |
spellingShingle |
Forbidden patterns, permutation entropy and stock market inefficiency Zunino, Luciano Forbidden patterns Permutation entropy Stock market inefficiency |
title_short |
Forbidden patterns, permutation entropy and stock market inefficiency |
title_full |
Forbidden patterns, permutation entropy and stock market inefficiency |
title_fullStr |
Forbidden patterns, permutation entropy and stock market inefficiency |
title_full_unstemmed |
Forbidden patterns, permutation entropy and stock market inefficiency |
title_sort |
Forbidden patterns, permutation entropy and stock market inefficiency |
author |
Zunino, Luciano |
author_facet |
Zunino, Luciano Zanin, Massimiliano Tabak, Benjamin Miranda Pérez, Darío G. Rosso, Osvaldo A. |
author_role |
author |
author2 |
Zanin, Massimiliano Tabak, Benjamin Miranda Pérez, Darío G. Rosso, Osvaldo A. |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Zunino, Luciano Zanin, Massimiliano Tabak, Benjamin Miranda Pérez, Darío G. Rosso, Osvaldo A. |
dc.subject.por.fl_str_mv |
Forbidden patterns Permutation entropy Stock market inefficiency |
topic |
Forbidden patterns Permutation entropy Stock market inefficiency |
dc.description.abstract.por.fl_txt_mv |
In this paper we introduce two new quantifiers for the stock market inefficiency: the number of forbidden patterns and the normalized permutation entropy. They are model-independent measures, thus they have more general applicability. We find robust evidence that degree of market inefficiency is positively correlated with the number of forbidden patterns and negatively correlated with the permutation entropy. Our empirical results suggest that these two physical tools are useful to discriminate the stage of stock market development and can be easily implemented. |
dc.description.version.pt_BR.fl_txt_mv |
Sim |
dc.description.status.pt_BR.fl_txt_mv |
Publicado |
description |
In this paper we introduce two new quantifiers for the stock market inefficiency: the number of forbidden patterns and the normalized permutation entropy. They are model-independent measures, thus they have more general applicability. We find robust evidence that degree of market inefficiency is positively correlated with the number of forbidden patterns and negatively correlated with the permutation entropy. Our empirical results suggest that these two physical tools are useful to discriminate the stage of stock market development and can be easily implemented. |
publishDate |
2009 |
dc.date.issued.fl_str_mv |
2009 |
dc.date.accessioned.fl_str_mv |
2016-10-10T03:52:03Z |
dc.date.available.fl_str_mv |
2016-10-10T03:52:03Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
status_str |
publishedVersion |
format |
article |
dc.identifier.citation.fl_str_mv |
ZUNINO, Luciano. et. al. Forbidden patterns, permutation entropy and stock market inefficiency. Physica A, v.388, n.14, p. 2854-2864, 2009. |
dc.identifier.uri.fl_str_mv |
http://twingo.ucb.br:8080/jspui/handle/10869/318 https://repositorio.ucb.br:9443/jspui/handle/123456789/7605 |
dc.identifier.issn.none.fl_str_mv |
0378-4371 |
identifier_str_mv |
ZUNINO, Luciano. et. al. Forbidden patterns, permutation entropy and stock market inefficiency. Physica A, v.388, n.14, p. 2854-2864, 2009. 0378-4371 |
url |
http://twingo.ucb.br:8080/jspui/handle/10869/318 https://repositorio.ucb.br:9443/jspui/handle/123456789/7605 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.publisherversion.pt_BR.fl_str_mv |
http://dx.doi.org/10.1016/j.physa.2009.03.042 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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